CASP-DM: Context Aware Standard Process for Data Mining

C\`esar Ferri; Fernando Mart\'inez-Plumed; Jos\'e Hern\'andez-Orallo; Lidia Contreras-Ochando; Mar\'ia Jos\'e Ram\'irez-Quintana; Meelis Kull; Nicolas Lachiche; Peter Flach

arxiv: 1709.09003 · v1 · pith:CXQANZ7Gnew · submitted 2017-09-19 · 💻 cs.DB

CASP-DM: Context Aware Standard Process for Data Mining

Fernando Mart\'inez-Plumed , Lidia Contreras-Ochando , C\`esar Ferri , Peter Flach , Jos\'e Hern\'andez-Orallo , Meelis Kull , Nicolas Lachiche , Mar\'ia Jos\'e Ram\'irez-Quintana This is my paper

classification 💻 cs.DB

keywords dataminingmodelprocesscontextstandardaddressesaware

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We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and model reuse handling. This new general context-aware process model is mapped with CRISP-DM reference model proposing some new or enhanced outputs.

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CASP-DM: Context Aware Standard Process for Data Mining

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